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Business register as a basis for survey frames Business register as a basis for survey frames

Business register as a basis for survey frames - PowerPoint Presentation

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Business register as a basis for survey frames - PPT Presentation

Natalia Dorontsova 2 september 2013 Contents Presentation of the Business Register Maintenance strategy of the Business Register Business Register and Survey Frame System Managing the Survey Frame ID: 236359

frame survey local enterprises survey frame enterprises local year unit statistical enterprise information employment units register sources surveys structure

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Slide1

Business register as a basis for survey frames

Natalia Dorontsova

2 september

2013Slide2

Contents

Presentation of the Business Register

Maintenance strategy of the

Business

Register

Business Register

and

Survey Frame System

Managing the Survey FrameSlide3

The Swiss Business Register (BR) contains

all enterprises and all establishments

that

generate an economic activity in Switzerland. The main information is updated permanently through different sources.

The BR is used by FSO as an address register for statistical surveys (survey frame, extrapolation basis). Other governmental agencies and cantons in Switzerland use BR for statistical or administrative purposes.

Definition

Purpose

BR: Definition and PurposeSlide4

BR: Legal

Bases

Federal Statistics Act of

9 October 1992

Federal Act of 19 June 1992 on Data Protection (FADP)

Ordinance of 30 June 1993 regarding the Register of Enterprises and EstablishmentsOrdinance of 25 June 2003 on emoluments and indemnities received for statistical services by administrative entities of the Swiss ConfederationRegulation (EC) No 177/2008 establishing a common framework for business registers for statistical purposesSlide5

BR: Data Model

Enterprise

Local

Unit

Legal

Unitcontrols

Operates an

Performs its activity in itsSlide6

BR: Enterprise Structure

One Local Unit Enterprise or

multi-establishments enterprise

Legal Unit

Legal Unit

Enterprise

Local Unit

Local Unit

Local Unit

CH-ID / EHRAID

ENTID

BURNR

Main Legal Unit or Local Legal U

nit

Secondary Local

 

Legal Unit

 

Geographical Local

 

UnitSlide7

BR

Administrative

Sources

Private

Database

Statistical

Sources

Other tools:

swissfirms

, ETV, SLB

BR:

Sources

UID

RFE/

ZEMIS

CANTONS

Employment agency system

Other

(SUVA)

Profiling

light

QS-NACE Survey

ERST

: a newly

created e

nterprises

Survey

Employment

Statistics

Survey

Other

Surveys

Social Security

VAT

Other Tax Adm.

ZEFIX

(Register of commerce

)

Profiling

Information about multi-establishments enterprises

(large and complex)Slide8

REE:

Coverage

(1

)Primary, secondary and tertiary sectors of activityPrivate sector

Local units, Enterprise unitsSources : SHAB (1’000/day), VAT(500/day), PLASTA (30/day), Profiling, Cantons (30/

day), surveys (STATEM, ERST)Public sector

Local units, Institutional units

Sources : cantons

,

municipalities

,

Profiling, surveys (STATEM)Slide9

BR: Coverage

(2)

Administrative Units = 100%

Statistical Units from 2011

Minimum annual income of 2’300.- Sfr/yearThis limit allows to take into account all micro-enterprises in the statistics

Statistical Units before 2011

Minimum employment of 0.5 Full-time equivalent employment or 20h/weekSlide10

BR: Contents

Descriptive Data:

Name

and address of the

Enterprise / EstablishmentActivity statusLegal formInstitutional sector

Economic activityGeographical location

Enterprise size measures (employment, turnover)

Demographic Data:

Date of creation of

the enterprise

Date when the enterprise started operations

Other dates

of recent

changes

of activity status or economic activity or

enterprise structure

Linkage Data:

Various identifiers enabling the links between units

(enterprise, legal, local, group of enterprises)Slide11

Maintenance strategy of the BR (1)

The maintenance strategy takes into account the following aspects:

Use of administrative sources (Social Security is the main one)

Use of feedbacks from surveys

Needs of the users

Enterprises are partitioned into various maintenance

groups by size and potential impact on public statisticsPlanning of the updates

Historical registerRules for dealing with conflicting informationSlide12

Maintenance strategy of the

BR

(2)

For maintenance

purposes, the enterprises are divided into three groups:Multi-establishments enterprises subject to Profiling:

Enterprises > 10 local units or > 100 employeesQuarterly collection (enterprise structure, employment and NACE per local unit)

Multi-establishments enterprises subject to Profiling Light:

Enterprises < 10 local units or < 100 employees

Annual

s

urvey (

enterprise structure

,

employment

and

NACE per local

u

nit)Slide13

Maintenance strategy of the BR (3)

All enterprises with only one local unit:

ERST (quarterly survey on newly created enterprises)

 structure, reason of creation,

employment and NACE per local unit

QS-NACE  annual control survey of the economic activity covering all units over 5 yearsAdministrative sources (Social Security)  employment per enterpriseSlide14

Year

A

Continuous update of the structure:

New entries

ChangesCessations

Turnover (VAT)

Employment(Social security)

Year

A -

2

Structural

Statistics

Survey

Frame

BR

BR

Survey

Frame

System

Year

A -

1

Continuous update of statistical information:

Employment data

Turnover

Export/import dataSlide15

BR: Basis of the

survey frame (1)

The

economical

statistical surveys are based on the

business register;The enterprise is the central statistical unit;At the moment, FSO uses only one survey frame for

all economical statistical surveys;

Each year

a new survey frame is provided

containing all

metadata

;

The

coordination of the drawing-samples

must

be insured. The burden

on enterprises

can

be reduced

by using this system

;

The

business register is continuously updated

during

the year

; the structural data

and all

statistical information

are

integrated (profiling, profiling light

, others

surveys);Slide16

BR: Basis of the

survey

frame

(2)

Each year the available statistical information (from administrative sources) is also integrated: employment and turnover;

The NACE code is updated on a regular basis;

All information has its own reference period (time stamp);

Survey Frame ≠ Structural Statistics (STATENT);

Survey Frame =

Structure

of the statistical units

at

the year A, enhanced with

statistical information

from year A or A-1 or A-2

according to

the update

schedule;

Structural Statistics

= Structure and statistical information corresponding to the same reference period of year A-2

.Slide17

Year

A+1

A quarterly

report provides the observed changes during

year A (new entries, changes, cessations)All rules of continuity are used to explain the changes

Year A

Survey Frame

Survey Frame

REE

REE

Managing the Survey Frame (1)

Monitor the survey frame!

Describe changes in the population

!

Help/support extrapolation methods!

Build quality indicators!Slide18

Managing

the Survey

F

rame (2)

During the year when the survey frame is used, quarterly reports provide the main changes in the survey frame

(new entries, cessations or others changes).These changes can be used to describe the modifications in the population of the

survey and to help or support the extrapolation methods.

Checks in the population can also be performed in order to provide additional

information on structural

changes

.

Each year a new survey frame is prepared

as an

update

of the previous

frame

containing all the information

gathered throughout the

year.

All the rules of continuity are used. The purpose of this practice is to determine what information of the last frame may be transmitted to units of the new frame and under what circumstances

.Slide19

Managing

the Survey

F

rame (3)

The changes are detected and treated following the rules that are explained in the «Manual of coordinated survey system for enterprises – SVS».Slide20

References

Qualité, L. (2011), Système d’enquêtes coordonnées pour les entreprises – SVS, version 1.0, Office fédéral de la statistique, 2011

.

Qualité

, L. (2009

), Unequal probability sampling and repeated

surveys. Thèse de doctorat, Université de Neuchâtel, Neuchâtel, Suisse.

https://libra.unine.ch/Publications/Personne/Q/Lionel_QualitE/12431

Paul-André

Salamin

, Measuring the performance of a sample coordination system,

EESW09

,

2009

http://enbes.wikispaces.com/file/view/S3_2_Salamin.pdfSlide21

www.uid.ch